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softmax-policy

Here are 4 public repositories matching this topic...

AppliedGameTheoryHomeworkSolutions

NikolaZubic / AppliedGameTheoryHomeworkSolutions

Solutions for course: "Applied Game Theory" taken at University of Novi Sad - Faculty of Technical Sciences

tic-tac-toe blackjack q-learning game-theory minimax-algorithm multi-armed-bandit softmax monte-carlo-methods bellman-ford-algorithm evolutionary-game-theory sarsa-learning temporal-difference-learning markov-decision-process softmax-policy cournot-competition instigation-game applied-game-theory

Updated Jan 18, 2021
Jupyter Notebook

alphaparkinc / genpark-actor-critic-advantage-td-error-skill

Advantage Actor-Critic (A2C) tabular updates with TD error advantage estimation and softmax policy gradients.

python reinforcement-learning policy-gradient actor-critic advantage-actor-critic td-error softmax-policy model-context-protocol mcp-server agent-skills value-baseline

Updated Sep 28, 2026
Python

Alpha-Park / genpark-actor-critic-advantage-td-error-skill

Advantage Actor-Critic (A2C) tabular updates with TD error advantage estimation and softmax policy gradients.

python reinforcement-learning policy-gradient actor-critic advantage-actor-critic td-error softmax-policy model-context-protocol mcp-server agent-skills value-baseline

Updated Sep 28, 2026
Python

nicoleorzan / Multi-armed-bandit-RL

C++ implementation of Multi-Armed Bandits (Gaussian and Bernoulli)

reinforcement-learning rl ucb multi-armed-bandits bandits softmax regret bandit-algorithms regret-minimization softmax-policy bernoulli-bandit gaussian-bandit

Updated Apr 7, 2021
C++

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